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Open nowFirst seen 2 days ago

Azure Databricks DevOps Engineer

Boardroom Appointments3,354 open roles

Where
Centurion, South Africa
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Your applicationOpen nowAzure Databricks DevOps EngineerBoardroom Appointments · Centurion, South Africa

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  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Boardroom Appointments's own form.

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The clock on this job

Early applications get read.

11.8% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: first seen 2 days ago

The posting

Azure Databricks DevOps Engineer

Key Responsibilities:

  • Databricks Management: Deploy, configure, and maintain Azure Databricks environments, ensuring scalability, security, and efficiency.
  • Infrastructure Automation: Implement and manage IaC using Terraform, ARM templates, or Bicep to automate cloud resource provisioning.
  • CI/CD Pipelines: Develop and manage CI/CD pipelines using tools like Azure DevOps, GitHub Actions, Jenkins to automate data pipeline deployments.
  • Monitoring & Logging: Set up and maintain monitoring solutions using Azure Monitor, Log Analytics, and Application Insights for proactive issue resolution.
  • Security & Compliance: Implement best practices for security, governance, and compliance, including RBAC, encryption, and network security policies.
  • Data Integration & Optimization: Work with Data Engineers to optimize ETL pipelines, ensuring high performance and cost efficiency.
  • Collaboration: Work closely with Data Scientists, Engineers, and Business Analysts to enable efficient data workflows.
  • Incident Management: Troubleshoot and resolve Databricks, Azure Kubernetes Services (AKS), and networking issues efficiently.
  • Documentation & Best Practices: Maintain technical documentation and establish best practices for Azure Databricks and DevOps processes.

Required Skills & Qualifications:

  • Bachelors or Masters degree in Computer Science, IT, or a related field.
  • 5+ years of experience in DevOps, Cloud Engineering, or Data Engineering roles.
  • Strong hands-on experience with Azure Databricks, Azure Data Factory, and Azure Synapse Analytics.
  • Proficiency in Terraform, ARM Templates, or Bicep for infrastructure automation.
  • Experience with CI/CD tools such as Azure DevOps, GitHub Actions, or Jenkins.
  • Knowledge of Python, Scala, or PowerShell for automation and scripting.
  • Familiarity with containerization (Docker, Kubernetes, AKS).
  • Solid understanding of Azure networking, security, and identity management (IAM, RBAC, AAD).
  • Experience with monitoring and logging tools (Azure Monitor, Log Analytics, Prometheus, Grafana).
  • Strong problem-solving skills and ability to work in an Agile/Scrum environment.

Preferred Qualifications:

  • Azure Certifications (e.g., AZ-400, AZ-104, DP-203, DP-900).
  • Experience with Big Data processing frameworks (Apache Spark, Delta Lake).
  • Understanding of ML Ops and working with machine learning models in Databricks.
  • Knowledge of Event-driven architectures (Azure Event Hubs, Kafka, Service Bus).
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